An adaptive two-stage multi-population coevolutionary framework for constrained multi-objective optimization

Dengfeng Liu

doi:10.1016/j.swevo.2026.102412

An adaptive two-stage multi-population coevolutionary framework for constrained multi-objective optimization

2026-05-15

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DOI：10.1016/j.swevo.2026.102412

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• Two-stage strategy efficiently balances exploration and resource allocation. • Avoiding strict non-dominance preference preserves population diversity. • Hierarchical selection prevents clustering, balancing diversity and convergence. • Combining hierarchical selection with constraint relaxation broadens exploration.

Keywords:

multi-objective optimization

coevolutionary framework

constraint relaxation

population diversity

hierarchical selection

An adaptive two-stage multi-population coevolutionary framework for constrained multi-objective optimization

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